CN106530726A - Highway vehicle management system based on cloud computing - Google Patents
Highway vehicle management system based on cloud computing Download PDFInfo
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- CN106530726A CN106530726A CN201710029139.2A CN201710029139A CN106530726A CN 106530726 A CN106530726 A CN 106530726A CN 201710029139 A CN201710029139 A CN 201710029139A CN 106530726 A CN106530726 A CN 106530726A
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- cloud computing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
The invention provides a highway vehicle management system based on cloud computing. The highway vehicle management system comprises a highway communication system, a remote cloud computing server and a highway management center. The vehicle exchanges information with the remote cloud computing server through the highway communication system. The cloud computing management system of the remote cloud computing server processes vehicle information. The cloud computing management system summarizes all the traffic flow data and then feeds back the traffic flow data to the highway management center. The highway management center adjusts the line situation anytime to degrade highway congestion. The beneficial effects of the highway vehicle management system based on cloud computing are that the pressure caused by the free toll highway in holidays and festivals can be substantially reduced and the phenomenon of highway congestion can be avoided.
Description
Technical field
The present invention relates to technical field of vehicle management, and in particular to a kind of vehicle on highway management system based on cloud computing
System.
Background technology
As the enclosed highway of China is more and more, these highways are provided with multiple bayonet sockets, at ordinary times bayonet socket
Vehicle flowrate is larger, particularly puts into effect now festivals or holidays compact car highway and is free of charge policy, whenever festivals or holidays highway is gathered around
Stifled phenomenon is especially serious, and the scene of charge station front row long queue becomes a scape of festivals or holidays；As can be seen here, vehicle Flow Detection seems outstanding
For important.The equipment such as various traffic detectors are currently existed, but these device statisticses result out has error
Greatly, there are problems that accurately judging that vehicle, vehicle Flow Detection data are unable to.
The content of the invention
For the problems referred to above, the present invention is intended to provide a kind of vehicle on highway management system based on cloud computing.
The purpose of the present invention employs the following technical solutions to realize：
It is there is provided a kind of vehicle on highway management system based on cloud computing including highway communication system, long-range
Cloud computing server and high speed administrative center, vehicle is exchanged with long-range cloud computing server by highway communication system to be believed
Breath, the cloud computing management system of long-range cloud computing server process information of vehicles, and cloud computing management system collects all vehicle flowrates
Data feed back to high speed administrative center again, and high speed administrative center adjusts the traffic congestion of line condition degradation highway at any time.
Beneficial effects of the present invention are：Significantly reduce the pressure that festivals or holidays high speed Toll Free brings, it is to avoid highway
Traffic jam.
Description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structure connection diagram of the present invention.
Reference：
Highway communication system 1, long-range cloud computing server 2, high speed administrative center 3.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of vehicle on highway management system based on cloud computing, including it is highway communication system 1, remote
Journey cloud computing server 2 and high speed administrative center 3, vehicle is by highway communication system 1 with long-range cloud computing server
Exchange information, the cloud computing management system of long-range cloud computing server 2 process information of vehicles, and cloud computing management system collects all
Vehicle flowrate data feed back to high speed administrative center 3 again, and high speed administrative center 3 adjusts line condition degradation highway at any time and blocks up
Car.
The present embodiment significantly reduces the pressure that festivals or holidays high speed Toll Free brings, it is to avoid highway traffic congestion is existing
As.
Preferably, during the high speed administrative center 3 includes gate management center, traffic control center and traffic guidance commander
The heart；Cloud computing management system collects the information of vehicle flowrate of each bayonet socket and is fed back in traffic control center and traffic guidance commander again
These information of vehicle flowrate are published to the LED of each Entry to motorway by long-range cloud computing server 2 by the heart, traffic administration personnel
Traffic guidance screen display.
This preferred embodiment realizes wagon flow and adjusts at any time.
Preferably, highway communication system 1 includes automobile mounted antenna, distributed base station subsystem and wireless switching
System, each base station sub-system include a baseband processing unit and multiple RF processing units, baseband processing unit and radio frequency
Processing unit is attached by optical fiber, RF processing unit identitypath arrange, signal by optical fiber from baseband processing unit to
Up to RF processing unit, automobile mounted antenna carries out radio communication with RF processing unit, and the wireless switching subsystem is used for
Realize the communication switching between base station.
This preferred embodiment is constructed and is led to for same automobile when automobile high-speed is moved suitable for vehicle management system
The communication system of letter, wherein baseband processing unit and RF processing unit are attached by optical fiber, can reduce vehicle management
System is the error of transmission during auto communication, improves the efficiency of management.
Preferably, the automobile mounted antenna and the radio communication of RF processing unit, including channel model is set up, calculate
Effective throughput and determination link circuit self-adapting transmission means；
Channel model is set up in the following way：Large scale path fading and little yardstick multipath fading in consideration channel,
The probability density function f (γ) of car ground link received signal to noise ratio is represented by：
In above-mentioned formula, γ be car ground link received signal to noise ratio, l be the little yardstick multipath fading factor, l ∈ [5dB, 7dB],
I0[] is first kind n-th order modified Bessel function, and transmission powers of the P for RF processing unit, VK (d) are large scale path
Loss, N are only to consider the noise power under large scale loss, and P, VK (d), N units are dB, wherein, VK (d)=150+22ln
(d)+20ln(fc),
In above-mentioned formula, d is automobile mounted antenna and RF processing unit distance, and unit is m, fcFor carrier frequency, list
Position is Hz.
This preferred embodiment considers vehicle on highway management system simultaneously to be believed with being managed during vehicle communication
Large scale path fading and little yardstick multipath fading in road, obtains more accurate channel model, improves vehicle management
System administration efficiency.
Preferably, effective throughput is calculated in the following way, and train-ground communication both link ends adopt MIMO technology, it is assumed that car
The received signal to noise ratio of ground link is γ, then the effective transmission speed of system is：
In above-mentioned formula, k1For constant, m is spatial multiplexing gain, Lt+wFor the total of communication protocol link layer frame head and postamble
It is long, LzFor the frame length of link layer；
Frame error ratio is accordingly：
In above-mentioned formula, MfIt is transmitting antenna number, MjIt is reception antenna number；
It is assumed that the received signal to noise ratio γ of system initial transmission1, the received signal to noise ratio of n-th transmission is γn, then work as system
Maximum allowable the number of transmissions is NmWhen, the expectation of system effective throughput is represented by：
In above-mentioned formula,It is the maximum effective throughput obtained by system after n transmission；Be a frame in first n-1 time no transmission success, and in the probability of n-th transmission success, its
In,
This preferred embodiment adopts MIMO technology, greatly improves the overall performance of vehicle on highway management system,
By selecting suitable frame length, frame error ratio of the vehicle management system during management can be effectively reduced, lift vehicle
Management system system administration vehicle number.
Preferably, Adaptive Transmission mode is determined in the following way, based on part Observable markov discrimination model,
With effective throughput as optimization aim, in given target frame error rate DGtarUnder, selection suitable Adaptive Transmission parameter m,
LzTo maximize the income of system, best link Adaptive Transmission problem is modeled as：
So that,
In above-mentioned formula, T is total decision-making period, UA (m (t), Lz(t)) for the instantaneous revenue function of decision-making moment t.
In this preferred embodiment, vehicle on highway management system during being managed to vehicle, due to automobile
In high-speed motion, the channel status of car ground link is continually changing car antenna, and in Adaptive Transmission mode, link is certainly
Adapt to configured transmission to be constantly adjusted to adapt to management process actual demand.
Preferably, the wireless switching subsystem is cut for the communication between base station is realized using improved switching mode
Change.The improved switching mode includes：
The received signal strength RSRP values and channel quality RSRQ values of A, measurement current service cell and each adjacent cells；
B, selection meet each adjacent cells of decision condition, the decision condition judge formula as：
min(RN)>0
In formula, Δ RSRP (i)ψDRepresent the RSRP values and the RSRP values of current service cell D of the adjacent cells ψ at i moment
The switching hysteretic threshold value of difference, wherein QB (i) for the i moment, RSRP (ψ)iFor the adjacent cells for meeting decision condition at i momentReceived signal strength RSRP values, RSRP (D)iFor the RSRP values of the current service cell D at i moment；
C, the adjacent cells triggering switching that optimum is selected in each adjacent cells for meeting decision condition.
Continuity of the vehicle on highway management system to vehicle management is ensure that in this preferred embodiment, vehicle is at a high speed
The switching of base station during road vehicle management system is managed to vehicle, can be realized, specifically, is cut using improved
The mode of changing realizes the communication switching between base station, sets the adjacent cells that decision condition selects to meet, then therefrom selects optimum
Adjacent cells triggering switching reduces switching times, improves handover success rate, it is ensured that the continuity of management process.
Preferably, the adjacent cells triggering switching that optimum is selected in each adjacent cells for meeting decision condition, bag
Include：
A, measurement meet the change in resources rate of each adjacent cells of decision condition and each adjacent cells to current service cell
Distance；
B, switching reliability Γ (ψ) for calculating the adjacent cells for meeting decision condition according to the following formula：
In above-mentioned formula, A, B be setting weights, A+B=1,To meet the adjacent cells of decision conditionMoney
Source rate of change,For the adjacent cells for meeting decision condition at i momentReceived signal strength RSRP values,For
Meet the adjacent cells of decision conditionTo the distance of current service cell, B1、B2For the weights of setting, B1+B2=1；
C, the adjacent cells triggering switching for choosing switching reliability Γ (ψ) maximum.
This preferred embodiment ensure that optimal performance of the vehicle on highway management system to vehicle management, can by switching
Calculating by degree selects optimum adjacent cells triggering switching, it is contemplated that local resource rate of change and between current service cell
Distance such that it is able to realize the selection of optimum adjacent cells, further increase handover success rate, it is ensured that management process
Continuous-stable.
Preferably, the computing formula for setting switching hysteretic threshold value QB (i) at the i moment is set as：
QB (i)=max { α [LS]n,β[UP]n}
In above-mentioned formula, upper and lower bounds of the α and β for QB (i) values, υ reach RSRQ values during upper limit α for QB (i), when
When RSRQ values are less than υ values, QB (i) starts to reduce, speed and track that η and n reduces for adjustment QB (i) value reduces with RSRQ values
Parameter.
This preferred embodiment improves the adaptive capacity to environment of vehicle on highway management system, specifically, to the i moment
Switching hysteretic threshold value QB (i) set, make QB (i) values and RSRP (D)iValue is connected each other, such that it is able to according to each
The hardware facility of the difference of base station local environment and base station itself is more configured flexibly QB (i), improves and described meets judgement
Adaptability of each adjacent cells of condition to varying environment.
Trimestral management data are scheduled to last to vehicle management system of the present invention carries out statistical analysis, and summary draws car of the present invention
The effect that the management of management system is produced is as shown in the table：
| The average speed of highway is lifted | The average congestion time reduces percentage | |
| Festivals or holidays | 15km/h | 20% |
| At ordinary times | 18km/h | 17% |
Finally it should be noted that above example is only illustrating technical scheme, rather than to present invention guarantor
The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (4)
1. a kind of vehicle on highway management system based on cloud computing, is characterized in that, including highway communication system, remotely
Cloud computing server and high speed administrative center, vehicle is exchanged with long-range cloud computing server by highway communication system to be believed
Breath, the cloud computing management system of long-range cloud computing server process information of vehicles, and cloud computing management system collects all vehicle flowrates
Data feed back to high speed administrative center again, and high speed administrative center adjusts the traffic congestion of line condition degradation highway at any time.
2. a kind of vehicle on highway management system based on cloud computing according to claim 1, is characterized in that, the height
Fast administrative center includes gate management center, traffic control center and traffic guidance command centre；Cloud computing management system collects
The information of vehicle flowrate of each bayonet socket feeds back to traffic control center and traffic guidance command centre again, and traffic administration personnel are by long-range
These information of vehicle flowrate are published to the LED traffic guidance screen displays of each Entry to motorway by cloud computing server.
3. a kind of vehicle on highway management system based on cloud computing according to claim 2, is characterized in that, public at a high speed
Road communication system includes automobile mounted antenna, distributed base station subsystem and wirelessly switches subsystem, each base station sub-system bag
A baseband processing unit and multiple RF processing units are included, baseband processing unit and RF processing unit are connected by optical fiber
Connect, RF processing unit is arranged along identitypath, signal reaches RF processing unit, Automobile from baseband processing unit by optical fiber
Carrying antenna carries out radio communication with RF processing unit, and the wireless switching subsystem is used to realize that the communication between base station is cut
Change.
4. a kind of vehicle on highway management system based on cloud computing according to claim 3, is characterized in that, the vapour
Car car antenna and the radio communication of RF processing unit, including channel model is set up, calculate effective throughput and determine link
Adaptive Transmission mode；
Channel model is set up in the following way：Large scale path fading and little yardstick multipath fading in consideration channel, Che Di
The probability density function f (γ) of link received signal to noise ratio is represented by：
In above-mentioned formula, γ be car ground link received signal to noise ratio, l be the little yardstick multipath fading factor, l ∈ [5dB, 7dB], I0
[] is first kind n-th order modified Bessel function, and transmission powers of the P for RF processing unit, VK (d) are damaged for large scale path
Consumption, N are only to consider the noise power under large scale loss, and P, VK (d), N units are dB, wherein, VK (d)=150+22ln
(d)+20ln(fc),
In above-mentioned formula, d is automobile mounted antenna and RF processing unit distance, and unit is m, fcFor carrier frequency, unit is
Hz。
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| CN201710029139.2A CN106530726B (en) | 2017-01-16 | 2017-01-16 | highway vehicle management system based on cloud calculates |
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| CN201710029139.2A CN106530726B (en) | 2017-01-16 | 2017-01-16 | highway vehicle management system based on cloud calculates |
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